JOURNAL ARTICLE

DETEKSI ALFABET BISINDO MENGGUNAKAN MEDIAPIPE HOLISTIC SECARA REAL-TIME

Abstract

The resulting system will detect and classify gestures or movements that speak the B language contained in it directly using a holistic mediapipe to detect the skeleton on the hands, body, and face and use a landmark model of poses, faces and each to generate a total of 543 landmarks. (33 pose landmarks, 468 facial landmarks, and 21 hand landmarks).

Keywords:
Computer science

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.37
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Decision Support System Applications
Social Sciences →  Business, Management and Accounting →  Management Information Systems

Related Documents

JOURNAL ARTICLE

Deteksi Wajah Secara Real Time Menggunakan Metode Camshift

Rita SusantiNurul Fadillah

Journal:   JURNAL MEDIA INFORMATIKA BUDIDARMA Year: 2019 Vol: 3 (2)Pages: 133-133
JOURNAL ARTICLE

Deteksi Kendaraan secara Real Time menggunakan Metode YOLO Berbasis Android

Junita Sri Wisna HutaurukTekad MatulatanNurul Hayaty

Journal:   Jurnal Sustainable Jurnal Hasil Penelitian dan Industri Terapan Year: 2020 Vol: 9 (1)Pages: 8-14
© 2026 ScienceGate Book Chapters — All rights reserved.